Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Base Model
Landscape
BakingBeans
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Ambrosia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Ambrosia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Ambrosia", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
OS-Ambrosia
This model with the MoistMixV2 VAE baked in. Original page: https://civitai.com/models/77174/os-ambrosia
Comparison of no VAE Vs. VAE:
Sample and prompt:
Full picture of a pretty cute girl making food, detailed face, sitting on food, intricate, aesthetic, unreal engine, neat hair, highly detailed, smooth, light novel cover art by artgerm, greg rutkowski, ilya kuvshinov, rossdraws and alphonse mucha. sharp focus, chiaroscuro, manga illustration
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